729 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs in United States
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degradation that could occur to C-130 crew members from extended exposure to environmental insults. This research will also inform the development of effective human-machine systems and healthy Airmen protocol
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Cynthiana, KY Grade Level 46 Salary Range $25.01-41.25/hour Type of Position Staff Position Time Status Full-Time Required Education ADN Click here for more information about equivalencies: https://hr.uky.edu
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, or machine learning models). Experience with high-performance computing and version control (e.g., GitHub). History of large-scale project implementation work in an international setting (e.g, population
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of traumatic extremity injuries and amputations with a specific focus on translating their findings into clinical practice to improve the care of injured Service Members and Veterans. To learn more, visit: https
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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related field. Knowledge, Skills, and Abilities: Comprehensive understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Strong
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
accessed using the link above. Jiawei Zhou Ph.D. The candidate will be co-mentored by Dr. Yanguang (Carter) Cao and Dr. Jiawei Zhou to advance the development of artificial intelligence/machine learning (AI
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with data collection software. 3. Excellent computer skills (MS Office Suite). 4. Highly organized, self-motivated, and detail-oriented, with strong multi-tasking skills. 5. Strong interpersonal and
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hardware Experience with atomic layer deposition and process development Experience with thin film and materials characterization Strong background in computational materials science and machine learning
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targets to treat anhedonia. Proposals that challenge prevailing assumptions, employ cutting-edge technologies, or integrate machine learning with neurobiological data are especially welcomed. Projects